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PURPOSE OF REVIEW: In the last 30âyears, there have many publications describing the pattern of muscle involvement of different neuromuscular diseases leading to an increase in the information available for diagnosis. A high degree of expertise is needed to remember all the patterns described. Some attempts to use artificial intelligence or analysing muscle MRIs have been developed. We review the main patterns of involvement in limb girdle muscular dystrophies (LGMDs) and summarize the strategies for using artificial intelligence tools in this field. RECENT FINDINGS: The most frequent LGMDs have a widely described pattern of muscle involvement; however, for those rarer diseases, there is still not too much information available. patients. Most of the articles still include only pelvic and lower limbs muscles, which provide an incomplete picture of the diseases. AI tools have efficiently demonstrated to predict diagnosis of a limited number of disease with high accuracy. SUMMARY: Muscle MRI continues being a useful tool supporting the diagnosis of patients with LGMD and other neuromuscular diseases. However, the huge variety of patterns described makes their use in clinics a complicated task. Artificial intelligence tools are helping in that regard and there are already some accessible machine learning algorithms that can be used by the global medical community.
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The identification of disease-characteristic patterns of muscle fatty replacement in magnetic resonance imaging (MRI) is helpful for diagnosing neuromuscular diseases. In the Clinical Outcome Study of Dysferlinopathy, eight diagnostic rules were described based on MRI findings. Our aim is to confirm that they are useful to differentiate dysferlinopathy (DYSF) from other genetic muscle diseases (GMD). The rules were applied to 182 MRIs of dysferlinopathy patients and 1000 MRIs of patients with 10 other GMD. We calculated sensitivity (S), specificity (Sp), positive and negative predictive values (PPV/NPV) and accuracy (Ac) for each rule. Five of the rules were more frequently met by the DYSF group. Patterns observed in patients with FKRP, ANO5 and CAPN3 myopathies were similar to the DYSF pattern, whereas patterns observed in patients with OPMD, laminopathy and dystrophinopathy were clearly different. We built a model using the five criteria more frequently met by DYSF patients that obtained a S 95.9%, Sp 46.1%, Ac 66.8%, PPV 56% and NPV 94% to distinguish dysferlinopathies from other diseases. Our findings support the use of MRI in the diagnosis of dysferlinopathy, but also identify the need to externally validate "disease-specific" MRI-based diagnostic criteria using MRIs of other GMD patients.
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Enfermedades Musculares , Distrofia Muscular de Cinturas , Humanos , Músculo Esquelético/diagnóstico por imagen , Músculo Esquelético/patología , Distrofia Muscular de Cinturas/diagnóstico por imagen , Distrofia Muscular de Cinturas/genética , Enfermedades Musculares/diagnóstico por imagen , Enfermedades Musculares/genética , Imagen por Resonancia Magnética , Disferlina/genética , Pentosiltransferasa , AnoctaminasRESUMEN
Dysferlinopathy is a muscle disease characterized by a variable clinical presentation and is caused by mutations in the DYSF gene. The Jain Clinical Outcome Study for Dysferlinopathy (COS) followed the largest cohort of patients (n=187) with genetically confirmed dysferlinopathy throughout a three-year natural history study, in which the patients underwent muscle function tests and muscle magnetic resonance imaging (MRI). We previously described the pattern of muscle pathology in this population and established a series of imaging criteria for diagnosis. In this paper, we describe the muscle imaging and clinical features of a subgroup of COS participants whose muscle imaging results did not completely meet the diagnostic criteria. We reviewed 184 T1-weighted (T1w) muscle MRI scans obtained at the baseline visit of the COS study, of which 106 were pelvic and lower limb only and 78 were whole-body scans. We identified 116 of the 184 patients (63%) who did not meet at least one of the established imaging criteria. The highest number found of unmet criteria was four per patient. We identified 24 patients (13%) who did not meet three or more of the nine established criteria and considered them as "outliers". The most common unmet criterion (27.3% of cases) was the adductor magnus being equally or more affected than the adductor longus. We compared the genetic, demographic, clinical and muscle function data of the outlier patients with those who met the established criteria and observed that the outlier patients had an age of disease onset that was significantly older than the whole group (29.3 vs 20.5 years, p=0.0001). This study expands the phenotypic muscle imaging spectrum of patients with dysferlinopathy and can help to guide the diagnostic process in patients with limb girdle weakness of unknown origin.
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Distrofia Muscular de Cinturas , Humanos , Adulto Joven , Adulto , Distrofia Muscular de Cinturas/diagnóstico por imagen , Distrofia Muscular de Cinturas/genética , Músculo Esquelético/patología , Imagen por Resonancia Magnética , MutaciónRESUMEN
Distal motor neuropathies (dHMN) are an heterogenous group of diseases characterized by progressive muscle weakness affecting predominantly the distal muscles of the lower and upper limbs. Our aim was to study the imaging features and pattern of muscle involvement in muscle magnetic resonance imaging (MRI) in dHMN patients of suspected genetic origin (dHMN). We conducted a retrospective study collecting clinical, genetic and muscle imaging data. Muscle MRI included T1-weighted and T2 weighted Short Tau Inversion Recovery images (STIR-T2w) sequences. Muscle replacement by fat was quantified using the Mercuri score. Identification of selective patterns of involvement was performed using hierarchical clustering. Eighty-four patients with diagnosis of dHMN were studied. Fat replacement was predominant in the distal lower leg muscles (82/84 cases), although also affected thigh and pelvis muscles. Asymmetric involvement was present in 29% of patients. The superficial posterior compartment of the leg, including the soleus and gastrocnemius muscles, was the most affected area (77/84). We observed a reticular pattern of fatty replacement progressing towards what is commonly known as "muscle islands" in 79.8%. Hyperintensities in STIR-T2w were observed in 78.6% patients mainly in distal leg muscles. Besides features common to all individuals, we identified and describe a pattern of muscle fat replacement characteristic of BICD2, HSPB1 and DYNC1H1 patients. We conclude that muscle MRI of patients with suspected dHMN reveals common features helpful in diagnosis process.
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Extremidad Inferior , Músculo Esquelético , Humanos , Estudios Retrospectivos , Músculo Esquelético/diagnóstico por imagen , Músculo Esquelético/patología , Pierna , Imagen por Resonancia MagnéticaRESUMEN
Background and Objectives: The prevalence and progression of respiratory muscle dysfunction in patients with limb girdle muscular dystrophies (LGMDs) has been only partially described to date. Most reports include cross-sectional data on a limited number of patients making it difficult to gain a wider perspective on respiratory involvement throughout the course of the disease and to compare the most prevalent LGMD subtypes. Methods: We reviewed the results of spirometry studies collected longitudinally in our cohort of patients in routine clinical visits from 2002 to 2020 along with additional clinical and genetic data. A linear mixed model was used to investigate the factors associated with the progression of respiratory dysfunction. Results: We followed up 156 patients with 5 different forms of LGMDs for a median of 8 years (range 1-25 years). Of them, 53 patients had pathogenic variants in the Capn3 gene, 47 patients in the Dysf gene, 24 patients in the Fkrp gene, 19 in the Ano5 gene, and 13 in one of the sarcoglycan genes (SCG). At baseline, 58 patients (37.1%) had a forced vital capacity percentage predicted (FVCpp) below 80%, while 14 patients (8.9%) had peak cough flow (PCF) values below 270 L/min. As a subgroup, FKRP was the group with a higher number of patients having FVC <80% and/or PCF <270 L/min at initial assessment (66%). We observed a progressive decline in FVCpp and PCF measurements over time, being age, use of wheelchair, and LGMD subtype independent factors associated with this decline. Fkrp and sarcoglycan patients had a quicker decline in their FVC (Kaplan-Meier curve, F test, p < 0.001 and p = 0.02, respectively). Only 7 of the 58 patients with low FVCpp values reported symptoms of respiratory dysfunction, which are commonly reported by patients with FVCpp below 50%-60%. The number of patients ventilated increased from 2 to 8 during follow-up. Discussion: Respiratory dysfunction is a frequent complication of patients with LGMDs that needs to be carefully studied and has direct implications in the care offered in daily clinics. Respiratory dysfunction is associated with disease progression because it is especially seen in patients who are full-time wheelchair users, being more frequent in patients with mutations in the Fkrp and sarcoglycan genes.
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Introduction. News treatments, make early diagnosis of spinal muscular atrophy (SMA) critical. The objective of this study is to analyze the different factors that influence delay in diagnosis. Population and methods. Patients with a molecular diagnosis of types I, II, and III SMA were included. Several parameters were studied, such as age at onset of first sign, what sign it was, and the time from recognition of first sign to confirmed diagnosis. Neurologists specialized in SMA conducted interviews, supported by the review of medical records when deemed necessary. Results. A total of 112 patients were interviewed. SMA I n = 40, SMA II n = 48, SMA III n = 24. The median age in months at the time of reporting the first sign was SMA I: 1.5 (R: 0-7), SMA II: 9 (R: 2-20), SMA III: 18 (R: 8-180). In all subtypes, first signs were identified by parents from 75% to 85% of the times. The median time from first sign to first medical consultation was less than a month in all 3 types. The median time in months, from first sign to confirmed molecular diagnosis in SMA I was: 2 (R: 0-11), in SMA II: 10 (R: 3-46), in SMA III: 31.5 (R: 4-288). Conclusions. There is a significant delay in SMA diagnosis mainly related to the absence of clinical suspicion. The delay is shorter in SMA I and longer in SMA III. Other factors include deficiencies in the health care system.
Introducción. Con las nuevas terapias, el diagnóstico temprano de la atrofia muscular espinal (AME) es esencial. El objetivo de este estudio es analizar los distintos componentes que influyen en el retraso diagnóstico. Población y métodos. Se incluyeron pacientes con un diagnóstico molecular de AME tipo I, II y III. Se estudiaron varios parámetros, como la edad al momento de la aparición del primer signo, qué signo fue y el intervalo entre este y el diagnóstico confirmado. Neurólogos especialistas realizaron entrevistas que se complementaron con la revisión de historias clínicas cuando fue necesario. Resultados. Se entrevistaron 112 pacientes. AME I n = 40, AME II n = 48, AME III n = 24. La mediana de edad en meses al momento del reporte del primer signo fue AME I: 1,5 (R 0-7), AME II: 9 (R 2-20), AME III: 18 (R 8-180). Los primeros signos fueron reconocidos por los padres en el 75 % al 85 % de las veces en todos los subtipos. La mediana del tiempo transcurrido entre el primer signo y la primera consulta médica fue menor a un mes en los tres tipos. La mediana de tiempo transcurrido en meses entre el primer signo y el diagnóstico molecular confirmado fue en AME I: 2 (R 0-11), en AME II: 10 (346) y en AME III: 31,5 (R 4-288). Conclusiones. Existe un significativo retraso en el diagnóstico de la AME relacionado fundamentalmente a la falta de sospecha clínica. La demora es menor en AME I y mayor en AME III. Otros factores incluyen deficiencias en el sistema de salud.
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Atrofia Muscular Espinal , Atrofias Musculares Espinales de la Infancia , Humanos , Atrofia Muscular Espinal/diagnóstico , Atrofias Musculares Espinales de la Infancia/diagnóstico , Edad de Inicio , PadresRESUMEN
Pompe disease is a genetic disorder produced by mutations in the GAA gene leading to absence or reduced expression of acid alpha-glucosidase, an enzyme that metabolizes the breakdown of glycogen into glucose. There are two main phenotypes, the infantile consisting of early onset severe weakness and cardiomyopathy, and the adult which is characterized by slowly progressive skeletal and respiratory muscle weakness. Enzymatic replacement therapy (ERT) has been available for Pompe disease for more than 15 years. Although the treatment has improved many aspects of the disease, such as prolonged survival through improved cardiomyopathy and acquisition of motor milestones in infants and slower progression rate in adults, ERT is far from being a cure as both infantile and adult patients continue to progress. This fact has prompted the development of improved or new enzymes and other treatments such as gene therapy or substrate reduction strategies. Here, we review the data obtained from randomized clinical trials but also from open-label studies published so far that have assessed the advantages and limitations of this therapy. Moreover, we also review the new therapeutic strategies that are under development and provide our opinion on which are the unmet needs for patients with this disease.
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Introducción. Con las nuevas terapias, el diagnóstico temprano de la atrofia muscular espinal (AME) es esencial. El objetivo de este estudio es analizar los distintos componentes que influyen en el retraso diagnóstico. Población y métodos. Se incluyeron pacientes con un diagnóstico molecular de AME tipo I, II y III. Se estudiaron varios parámetros, como la edad al momento de la aparición del primer signo, qué signo fue y el intervalo entre este y el diagnóstico confirmado. Neurólogos especialistas realizaron entrevistas que se complementaron con la revisión de historias clínicas cuando fue necesario. Resultados. Se entrevistaron 112 pacientes. AME I n = 40, AME II n = 48, AME III n = 24. La mediana de edad en meses al momento del reporte del primer signo fue AME I: 1,5 (R 0-7), AME II: 9 (R 2-20), AME III: 18 (R 8-180). Los primeros signos fueron reconocidos por los padres en el 75 % al 85 % de las veces en todos los subtipos. La mediana del tiempo transcurrido entre el primer signo y la primera consulta médica fue menor a un mes en los tres tipos. La mediana de tiempo transcurrido en meses entre el primer signo y el diagnóstico molecular confirmado fue en AME I: 2 (R 0-11), en AME II: 10 (3-46) y en AME III: 31,5 (R 4-288). Conclusiones. Existe un significativo retraso en el diagnóstico de la AME relacionado fundamentalmente a la falta de sospecha clínica. La demora es menor en AME I y mayor en AME III. Otros factores incluyen deficiencias en el sistema de salud.
Introduction. News treatments, make early diagnosis of spinal muscular atrophy (SMA) critical. The objective of this study is to analyze the different factors that influence delay in diagnosis. Population and methods. Patients with a molecular diagnosis of types I, II, and III SMA were included. Several parameters were studied, such as age at onset of first sign, what sign it was, and the time from recognition of first sign to confirmed diagnosis. Neurologists specialized in SMA conducted interviews, supported by the review of medical records when deemed necessary. Results. A total of 112 patients were interviewed. SMA I n = 40, SMA II n = 48, SMA III n = 24. The median age in months at the time of reporting the first sign was SMA I: 1.5 (R: 07), SMA II: 9 (R: 220), SMA III: 18 (R: 8180). In all subtypes, first signs were identified by parents from 75% to 85% of the times. The median time from first sign to first medical consultation was less than a month in all 3 types. The median time in months, from first sign to confirmed molecular diagnosis in SMA I was: 2 (R: 011), in SMA II: 10 (R: 346), in SMA III: 31.5 (R: 4288). Conclusions. There is a significant delay in SMA diagnosis mainly related to the absence of clinical suspicion. The delay is shorter in SMA I and longer in SMA III. Other factors include deficiencies in the health care system.